Ordering has economic effects
Maximal extractable value describes value obtainable through control over transaction inclusion, exclusion or ordering beyond ordinary block rewards and fees. Arbitrage, liquidations and certain trading strategies can create such opportunities.
Not every instance has the same effect on users. Some activity aligns prices across venues, while strategies such as sandwiching can worsen a trader’s execution.
A simplified sandwich
Imagine a visible pending swap in a shallow pool. An actor may place one trade before it and another after it, benefiting from the price movement while the original trader receives a worse result within the transaction’s accepted constraints.
This illustration explains an ordering risk; it is not a claim that every swap experiences such a strategy. Pool depth, order flow and transaction protections affect outcomes.
What a user can evaluate
Inspect expected price impact, minimum output and available transaction-protection features. Private submission or other mechanisms can change who sees an order, but introduce their own assumptions and do not guarantee the best execution.
When reading MEV statistics, ask which chain, period and definition were used. Gross extracted value, searcher profit and a user’s execution loss are not interchangeable measurements. Understanding those distinctions helps prevent dramatic totals from becoming misleading explanations.
A simple ordering example
Imagine a pending swap that would move a pool’s price. A participant may attempt to place one transaction before it and another after it, benefiting from the ordering while worsening the original user’s execution. This is a conceptual description of a sandwich pattern, not instructions for carrying one out.
Other ordering-related activity includes arbitrage and liquidation. The label MEV covers different behaviors and does not establish that every instance has the same effect on users. Explain which transactions moved, who selected the ordering and how the outcome changed.
Execution settings have tradeoffs
A slippage setting limits tolerated deviation under the application’s rules; setting it too loosely can accept an unexpectedly poor outcome, while a tight setting may cause failure. Private submission services can reduce public exposure of a pending transaction but introduce reliance on their own operation and policies.
No interface label eliminates all ordering risk. When comparing execution protection, inspect the mechanism and supported networks. Measure what the service actually promises and avoid turning a historical improvement into a guarantee for the next transaction.
Sources & further reading
Educational content. Examples are illustrative. Protocols, products and rules can change; consult the linked documentation for current details.